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COVID-19 and impact on peer review

As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

Celebrating Genetic Selection Evolution's 50th Anniversary

To mark this exciting occasion we have created a collection showcasing some of the journal’s most influential articles since 1969, along with an editorial considering the next-generation of scientific discoveries in the field.

Aims and scope

Genetics Selection Evolution is an open access, peer-reviewed, online journal dedicated to original research on all aspects of genetics and selection in domestic animal species and other species providing results of immediate interest for farm animals' genetics.

Featured: Gene networks for three feed efficiency criteria reveal shared and specific biological processes

Taussat et al. identify the gene networks and the biological processes that are responsible for the genetic determinism that is shared between major feed efficiency criteria: residual feed intake (RFI), residual gain (RG) and feed efficiency ratio (FE).



Retrospective Collection

Celebrating Genetics Selection Evolution’s 50th anniversary
Collection showcasing influential papers published in the journal over the past five decades.

Published: 19 November 2019


Thematic Series

Goat ADAPTmap Project
Collection featuring research from the Goat AdaptMap project, a worldwide analysis of goat biodiversity.

Published: 19 November 2018


Thematic Series

International Symposium on Functional Animal Genomics 2015
Collection featuring research and reviews from the International Symposium on Function Animal Genomics, held in Piacenza, Italy on 27th-29th July 2015.

Published: 29 March 2016


Didier Boichard, INRAE, France
Jack Dekkers, Iowa State University, US
Helene Hayes, INRAE, France
Julius van der Werf, University of New England, Australia

Featured: Advances and perspectives in selecting resistance traits against the parasitic mite Varroa destructor in honey bees

Guichard et al. discuss the reasons that have potentially limited the success of selection programs to support honey bee survival in the presence of the parasitic mite Varroa destructor.

Goat ADAPTmap Project

This special issue features papers from the authors of the ADAPTmap consortium, an international initiative to study goat diversity.

GSE welcomes a new Associate Editor

Marc Vandeputte is a research scientist in the “Genetics in Aquaculture” team of the Animal Genetics and Integrative Biology (GABI) Laboratory at INRAE. He is located on the Experimental station of Palavas Les Flots, which is part of the French Institute for Exploration of the Sea (Ifremer) and is one of the largest experimental platforms in Europe dedicated to research on marine and freshwater fish for aquaculture industries and marine biodiversity.

Marc Vandeputte has been working for more than 20 years on selective breeding of fish (mainly sea bass, carp, trout, and sea bream) in close interaction with the industry and other French (Ifremer) and European research institutes and universities. In national and European projects, he plays a key role in developing breeding strategies for improved efficiency (processing yields, feed efficiency). He has a wide range of expertise in genetics and bioinformatics, including animal breeding and genetics, applied and quantitative genetics, analysis of the genetic architecture of quantitative traits, etc.

About the Editors-in-Chief

Didier Boichard

Didier Boichard is currently leading the Cattle Genetics and Genomics research group in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.

His research is focused on dairy cattle genetics and breeding, particularly on the analysis of genetic variability of production and functional traits. He has managed the French national genetic evaluation for dairy cattle, sheep and goats and conducted projects for QTL detection and fine mapping. In 2002, in close collaboration with the French breeding industry, he implemented a large-scale marker-assisted selection programme, which has become a genomic selection programme since 2008.

Jack Dekkers

Jack Dekkers is professor and leader of the Animal Breeding and Genetics Section in the Department of Animal Science at Iowa State University (USA).

His areas of research are quantitative genetics and animal breeding with application to swine and poultry genetics, including the use of molecular genetic and genomic information, QTL detection, marker-assisted and genomic selection, design, optimization and economic aspects of breeding strategies, and genetic aspects of residual feed intake in pigs.

Helene Hayes

Helene Hayes is a researcher in the laboratory of Animal Genetics and Integrative Biology at INRAE (French National Research Institute for Agriculture, Food and Environment) in Jouy-en-Josas.

Her main focus is animal cytogenetics with a special interest on cattle, goat, sheep and rabbit cytogenetic maps and comparative mapping. Since 2005, she dedicates half her time to the management of the journal Genetics Selection Evolution.

Julius Van Der Werf

Professor Julius van der Werf holds a PhD (1990) in Animal Breeding from Wageningen University in the Netherlands. He moved to the University of New England (Armidale, Australia) in 1997, where he is now Professor in Animal Breeding and Genetics and Program Leader of Genetics in the Cooperative Research Center for Sheep Industry Innovation.

His research interests range from methodological issues on the estimation of genetic parameters (design and data structure, mixed models analysis, genetic evaluation models, random regression models) and genomic analysis (genomic prediction, genome wide association studies, design of experiments, models for genomic prediction, phasing and imputation) to applications for the optimization of animal breeding programs (breeding objectives, optimizing selection, optimizing, measurement, long and short term gains, genetic gain and genetic diversity, total genetic resource management).

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